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翻訳と辞書　辞書検索 [ 開発暫定版 ] スポンサード リンク Concordance correlation coefficient ： ウィキペディア英語版 Concordance correlation coefficient In statistics, the concordance correlation coefficient measures the agreement between two variables, e.g., to evaluate reproducibility or for inter-rater reliability. ==Definition== Lawrence Lin has the form of the concordance correlation coefficient $\backslash rho\_c$ as :$\backslash rho\_c\; =\; \backslash frac,$ where $\backslash mu\_x$ and $\backslash mu\_y$ are the means for the two variables and $\backslash sigma^2\_x$ and $\backslash sigma^2\_y$ are the corresponding variances. $\backslash rho$ is the correlation coefficient between the two variables. This follows from its definition〔 as :$\backslash rho\_c\; =\; 1\; -\; \backslash frac)^2\},$ where the mean is computed as :$\backslash bar\; =\; \backslash frac\; \backslash sum\_^N\; x\_n$ and the variance :$s\_x^2\; =\; \backslash frac\; \backslash sum\_^N\; (x\_n\; -\; \backslash bar)^2$ and the covariance :$s\_\; =\; \backslash frac\; \backslash sum\_^N\; (x\_n\; -\; \backslash bar)(y\_n\; -\; \backslash bar)\; .$ Whereas the ordinary correlation coefficient (Pearson's) is immune to whether the biased or unbiased versions for estimation of the variance is used, the concordance correlation coefficient is not. In the original article Lin suggested the 1/N normalization,〔 while in another article Nickerson appears to have used the 1/(N-1), i.e., the concordance correlation coefficient may be computed slightly differently between implementations. 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「Concordance correlation coefficient」の詳細全文を読む スポンサード リンク 翻訳と辞書 : 翻訳のためのインターネットリソース Copyright(C) kotoba.ne.jp 1997-2016. All Rights Reserved.